Unlock the Power of Machine Learning: Learn the Techniques that are Revolutionizing Industry!
Machine Learning is transforming the world as we know it. From improving healthcare to predicting market trends, this innovative technology…
The Future Is Here: The Latest News And Developments In The World Of AI!
Artificial intelligence (AI) is rapidly evolving, and it is becoming an integral part of our daily lives. From business to…
Operating-Layer Controls for Onchain Language-Model Agents Under Real Capital
arXiv:2604.26091v1 Announce Type: new Abstract: We study reliability in autonomous language-model agents that translate user mandates into validated tool actions…
The Surprising Effectiveness of Canonical Knowledge Distillation for Semantic Segmentation
arXiv:2604.25530v2 Announce Type: replace-cross Abstract: Recent knowledge distillation (KD) methods for semantic segmentation introduce increasingly complex hand-crafted objectives, yet are…
Turning the TIDE: Cross-Architecture Distillation for Diffusion Large Language Models
arXiv:2604.26951v1 Announce Type: cross Abstract: Diffusion large language models (dLLMs) offer parallel decoding and bidirectional context, but state-of-the-art dLLMs require…
Causal Learning with Neural Assemblies
arXiv:2604.26919v1 Announce Type: cross Abstract: Can Neural Assemblies — groups of neurons that fire together and strengthen through co-activation —…
Faithfulness-QA: A Counterfactual Entity Substitution Dataset for Training Context-Faithful RAG Models
arXiv:2604.25313v2 Announce Type: replace-cross Abstract: Retrieval-Augmented Generation (RAG) models frequently produce answers grounded in parametric memory rather than the retrieved…
Improving Robustness of Tabular Retrieval via Representational Stability
arXiv:2604.24040v2 Announce Type: cross Abstract: Transformer-based table retrieval systems flatten structured tables into token sequences, making retrieval sensitive to the…
An Intelligent Fault Diagnosis Method for General Aviation Aircraft Based on Multi-Fidelity Digital Twin and FMEA Knowledge Enhancement
arXiv:2604.22777v1 Announce Type: new Abstract: Fault diagnosis of general aviation aircraft faces challenges including scarce real fault data, diverse fault…
A Co-Evolutionary Theory of Human-AI Coexistence: Mutualism, Governance, and Dynamics in Complex Societies
arXiv:2604.22227v2 Announce Type: replace-cross Abstract: Classical robot ethics is often framed around obedience, most famously through Asimov’s laws. This framing…
End-to-End Learning for Partially-Observed Time Series with PyPOTS
arXiv:2604.24041v1 Announce Type: cross Abstract: Partially-observed time series (POTS) is ubiquitous in real-world applications, yet most existing toolchains separate missing-value…
Universal Transformers Need Memory: Depth-State Trade-offs in Adaptive Recursive Reasoning
arXiv:2604.21999v2 Announce Type: replace-cross Abstract: We study learned memory tokens as computational scratchpad for a single-block Universal Transformer (UT) with…